class_docstr: Returns unigrams and phrase machine phrases
docstr: Parameters
  ----------
  doc, Spacy Doc
  
  Returns
  -------
  Counter noun chunk -> count
docstr_tok: ["Parameters","--","--","--","--","--","doc",",","Spacy","Doc","Returns","--","--","--","-","Counter","noun","chunk","-",">","count"]
code: def get_feats(self, doc):
      """
      Parameters
      ----------
      doc, Spacy Doc
  
      Returns
      -------
      Counter noun chunk -> count
      """
      ngram_counter = Counter()
      for sent in doc.sents:
          ngram_counter += _phrase_counts(sent)
      return ngram_counter
  
file_path: scattertext/scattertext/features/PhraseMachinePhrases.py
imports: from collections import Counter
  from scattertext.external.phrasemachine import phrasemachine
  from scattertext.features.FeatsFromSpacyDoc import FeatsFromSpacyDoc
label_desc: Use image node_id 1 for calling the PhraseMachinePhrases obj's underlying member method code with example usage: obj.get_feats(doc) and returns: ngram_counter